An overview of forecast analysis with ARIMA models during the COVID-19 pandemic: Methodology and case study in Brazil
This comprehensive overview focuses on the issues presented by the pandemic due to
COVID-19, understanding its spread and the wide-ranging effects of government-imposed …
COVID-19, understanding its spread and the wide-ranging effects of government-imposed …
Overview of explainable artificial intelligence for prognostic and health management of industrial assets based on preferred reporting items for systematic reviews and …
Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials,
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …
Early prediction in classification of cardiovascular diseases with machine learning, neuro-fuzzy and statistical methods
Simple Summary Timely and accurate detection of cardiovascular diseases is critical to
reduce the risk of myocardial infarction. This article proposes a methodology using machine …
reduce the risk of myocardial infarction. This article proposes a methodology using machine …
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: Methodology, evaluation, and case study in SAARC countries
Abstract Machine learning (ML) has proved to be a prominent study field while solving
complex real-world problems. The whole globe has suffered and continues suffering from …
complex real-world problems. The whole globe has suffered and continues suffering from …
Abnormality detection and failure prediction using explainable Bayesian deep learning: Methodology and case study with industrial data
Mistrust, amplified by numerous artificial intelligence (AI) related incidents, is an issue that
has caused the energy and industrial sectors to be amongst the slowest adopter of AI …
has caused the energy and industrial sectors to be amongst the slowest adopter of AI …
Modeling COVID-19 cases statistically and evaluating their effect on the economy of countries
COVID-19 infections have plagued the world and led to deaths with a heavy pneumonia
manifestation. The main objective of this investigation is to evaluate the performance of …
manifestation. The main objective of this investigation is to evaluate the performance of …
Classifying COVID-19 based on amino acids encoding with machine learning algorithms
COVID-19 disease causes serious respiratory illnesses. Therefore, accurate identification of
the viral infection cycle plays a key role in designing appropriate vaccines. The risk of this …
the viral infection cycle plays a key role in designing appropriate vaccines. The risk of this …
Disjoint and functional principal component analysis for infected cases and deaths due to COVID-19 in South American countries with sensor-related data
C Martin-Barreiro, JA Ramirez-Figueroa, X Cabezas… - Sensors, 2021 - mdpi.com
In this paper, we group South American countries based on the number of infected cases
and deaths due to COVID-19. The countries considered are: Argentina, Bolivia, Brazil, Chile …
and deaths due to COVID-19. The countries considered are: Argentina, Bolivia, Brazil, Chile …
Weibull regression and machine learning survival models: Methodology, comparison, and application to biomedical data related to cardiac surgery
Simple Summary This article proposes a comparative study between two models that can be
used by researchers for the analysis of survival data: Weibull regression and random …
used by researchers for the analysis of survival data: Weibull regression and random …
[PDF][PDF] A statistical analysis for the epidemiological surveillance of COVID-19 in Chile.
N Jerez-Lillo, BL Álvarez, JM Gutiérrez… - Signa Vitae, 2022 - researchgate.net
The emergence of COVID-19 so far and in the immediate future has brought significant
uncertainties that negatively impact institutions and individuals in developing and planning …
uncertainties that negatively impact institutions and individuals in developing and planning …